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From Ahmet Arslan <iori...@yahoo.com>
Subject Re: arabic phrase search gives returns no results
Date Mon, 16 Dec 2013 15:37:09 GMT
Hi,

I see that you are using keyword tokenizer as tokenizer. I would start using text_ar field
type that comes with example schema.xml and modify it if you are not happy with it.

https://cwiki.apache.org/confluence/display/solr/Language+Analysis#LanguageAnalysis-Arabic



On Monday, December 16, 2013 5:19 PM, playahater <mishkez@gmail.com> wrote:

Hi guys,

intro && disclaimer:

Since the site which is going to use solr search is based on recipes
and ingredients, I decided in order to have a proper structured index, I need to use 
synonyms.
Now, after I read documentation and some blog posts and acknowledged 
that phrase search with synonyms is not going to work in query time, i 
decided that reindexing upon adding a new recipe is not so bad 
performance hit since a whole reindex proces lasts for about 1min, which
is in the end acceptable time.
I'm using an ajax-solr user interface for searching the solr index and 'browse' requestHandler
with edismax query parser.
this is my first arabic / solr experience. have read some articles but
need some help to understand what is really going on here.

I have also tried https://github.com/healthonnet/hon-lucene-synonyms but i get only more irrelevant
results than with edismax.

problem:

i'm having hard times configuring solr to give me desired search results when searching with
more than one word. I have tried different combinations of solrconfig.xml and scheme.xml options
(attached files), but ended up with configuration which gives me best search results with
one big problem. multi word search is returning all irrelevant results :(

SolrConfigXml:
http://pastebin.com/t4pAXA36

SchemaXml
http://pastebin.com/d59kaV9U

help?!:

i got here by trial and fail logic and managed to get the server work almost as i want, but
having a 'bad' result for phrase or better say multi word search is a major misconfiguration
which i can't seem to do right.
based on below debug info, I would appreciate any help or hint to make the phrase search in
combination with synonyms work as 'correct' as possible.

example recipe is:  بان كيك => Pancakes

1. when i join those two strings as بانكيك, I get desired results with recipes that
have بان كيك in title.
1.
when i try to search for بان كيك solr is returning results for both 
keywords giving me too many irrelevant results and index score can't be lower i think. (no
pancakes in results 
set?!) {probably acting that way because of synonyms?}
2. when i try to 'force' a phrase search with quotes "بان كيك", i get no results.

by
default, the second search should return the same results or almost the
same as the first one, but as you can se below, that's not the case.
that behavior is common for almost all queries with more than one word.

debug:

Searching for Pancakes recipe as one arabic string:


jQuery17109252098599061397_1387203349969({
"responseHeader":{
"status":0,
"QTime":9,
"params":{
"spellcheck":"on",
"f.recipe_title.hl.alternateField":["recipe_title",
"recipe_title"],
"facet":"off",
"mlt.fl":"recipe_body",
"tie":"0.1",
"spellcheck.maxCollationTries":"5",
"pf2":"recipe_title^100.0 ingredient_name^50.0",
"facet.range":"cooking_time",
"hl.simple.pre":"<b>",
"f.cooking_time.facet.range.end":"60",
"hl":"off",
"echoParams":"all",
"fl":"*,recipe_title, ingredient_name, score",
"hl.simple.post":"</b>",
"spellcheck.count":"5",
"qs":"0",
"facet.field":["{!ex=cooking_time}cooking_time",
"{!ex=servings}servings",
"{!ex=recipe_type_id}recipe_type_id",
"{!ex=difficulty}difficulty",
"{!ex=recipe_image}recipe_image",
"{!ex=recipe_video}recipe_video"],
"hl.encoder":"html",
"spellcheck.alternativeTermCount":"2",
"mm":"100%",
"f.cooking_time.facet.range.start":"15",
"spellcheck.maxResultsForSuggest":"2",
"indent":"true",
"facet.mincount":"1",
"spellcheck.collateExtendedResults":"true",
"spellcheck.extendedResults":"true",
"f.cooking_time.facet.range.gap":"15",
"spellcheck.maxCollations":"3",
"mlt.qf":"recipe_title^10.0 ingredient_name^5.0",
"qf":"recipe_title^10.0 ingredient_name^5.0",
"hl.fl":"recipe_title",
"spellcheck.collate":"true",
"wt":"json",
"rows":"12",
"defType":"edismax",
"facet.range.other":"after",
"pf":"recipe_title^100.0 ingredient_name^50.0",
"mlt.count":"5",
"f.recipe_title.hl.maxAlternateFieldLength":"750",
"f.recipe_title.hl.snippets":"3",
"facet.pivot":"recipe_title,ingredient_name",
"f.recipe_title.hl.fragsize":["0",
"200"],
"ps":"0",
"json.wrf":"jQuery17109252098599061397_1387203349969",
"debugQuery":"on",
"sort":"score desc",
"q":"بانكيك",
"_":"1387203424931",
"facet.field":["{!ex=cooking_time}cooking_time",
"{!ex=servings}servings",
"{!ex=recipe_type_id}recipe_type_id",
"{!ex=difficulty}difficulty",
"{!ex=recipe_image}recipe_image",
"{!ex=recipe_video}recipe_video"],
"wt":"json"}},
"response":{"numFound":4,"start":0,"maxScore":3.7431474,"docs":[
{}
"debug":{
"rawquerystring":"بان كيك",
"querystring":"بان كيك",
"parsedquery":"(+((DisjunctionMaxQuery((ingredient_name:كيك^5.0 | recipe_title:كيك^10.0)~0.1))~1)
DisjunctionMaxQuery((recipe_title:\"بان كيك  (كيك بانكيك)\"^100.0)~0.1)
DisjunctionMaxQuery((ingredient_name:\"بان كيك  (كيك بانكيك)\"^50.0)~0.1)
DisjunctionMaxQuery((recipe_title:\"بان كيك  (كيك بانكيك)\"^100.0)~0.1)
DisjunctionMaxQuery((ingredient_name:\"بان كيك  (كيك بانكيك)\"^50.0)~0.1))/no_coord",
"parsedquery_toString":"+(((ingredient_name:كيك^5.0 | recipe_title:كيك^10.0)~0.1)~1)
(recipe_title:\"بان كيك  (كيك بانكيك)\"^100.0)~0.1
(ingredient_name:\"بان كيك  (كيك بانكيك)\"^50.0)~0.1
(recipe_title:\"بان كيك  (كيك بانكيك)\"^100.0)~0.1
(ingredient_name:\"بان كيك  (كيك بانكيك)\"^50.0)~0.1",
"explain":{
"1120":"\n0.027350059 = (MATCH) sum of:\n  0.027350059 = (MATCH) sum of:\n    0.027350059
= (MATCH) max plus 0.1 times others of:\n      0.0072735385 = (MATCH) weight(ingredient_name:كيك^5.0
in 215) [DefaultSimilarity], result of:\n        0.0072735385 = score(doc=215,freq=64.0
= termFreq=64.0\n), product of:\n          0.007575801 = queryWeight, product of:\n            5.0
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= idf(docFreq=53, maxDocs=3326)\n            0.0234375 = fieldNorm(doc=215)\n      0.026622705
= (MATCH) weight(recipe_title:كيك^10.0 in 215) [DefaultSimilarity], result
 of:\n        0.026622705 = score(doc=215,freq=1.0 = termFreq=1.0\n), product of:\n          0.012551986
= queryWeight, product of:\n            10.0 = boost\n            4.241991
= idf(docFreq=129, maxDocs=3326)\n            2.9589844E-4 = queryNorm\n          2.1209955
= fieldWeight in 215, product of:\n            1.0 = tf(freq=1.0), with freq of:\n              1.0
= termFreq=1.0\n            4.241991 = idf(docFreq=129, maxDocs=3326)\n            0.5
= fieldNorm(doc=215)\n",
"1434":"\n0.02730846 = (MATCH) sum of:\n  0.02730846 = (MATCH) sum of:\n    0.02730846
= (MATCH) max plus 0.1 times others of:\n      0.006857557 = (MATCH) weight(ingredient_name:كيك^5.0
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= tf(freq=2.0), with freq of:\n              2.0 = termFreq=2.0\n            5.1205416
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= termFreq=1.0\n            4.241991 = idf(docFreq=129, maxDocs=3326)\n            0.5
= fieldNorm(doc=389)\n",
"1754":"\n0.027228834 = (MATCH) sum of:\n  0.027228834 = (MATCH) sum of:\n    0.027228834
= (MATCH) max plus 0.1 times others of:\n      0.0060612815 = (MATCH) weight(ingredient_name:كيك^5.0
in 1011) [DefaultSimilarity], result of:\n        0.0060612815 = score(doc=1011,freq=100.0
= termFreq=100.0\n), product of:\n          0.007575801 = queryWeight, product of:\n            5.0
= boost\n            5.1205416 = idf(docFreq=53, maxDocs=3326)\n            2.9589844E-4
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= idf(docFreq=53, maxDocs=3326)\n            0.015625 = fieldNorm(doc=1011)\n      0.026622705
= (MATCH) weight(recipe_title:كيك^10.0 in 1011) [DefaultSimilarity],
 result of:\n        0.026622705 = score(doc=1011,freq=1.0 = termFreq=1.0\n), product
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= boost\n            4.241991 = idf(docFreq=129, maxDocs=3326)\n            2.9589844E-4
= queryNorm\n          2.1209955 = fieldWeight in 1011, product of:\n            1.0
= tf(freq=1.0), with freq of:\n              1.0 = termFreq=1.0\n            4.241991
= idf(docFreq=129, maxDocs=3326)\n            0.5 = fieldNorm(doc=1011)\n",
"1438":"\n0.027153067 = (MATCH) sum of:\n  0.027153067 = (MATCH) sum of:\n    0.027153067
= (MATCH) max plus 0.1 times others of:\n      0.0053036213 = (MATCH) weight(ingredient_name:كيك^5.0
in 393) [DefaultSimilarity], result of:\n        0.0053036213 = score(doc=393,freq=100.0
= termFreq=100.0\n), product of:\n          0.007575801 = queryWeight, product of:\n            5.0
= boost\n            5.1205416 = idf(docFreq=53, maxDocs=3326)\n            2.9589844E-4
= queryNorm\n          0.700074 = fieldWeight in 393, product of:\n            10.0
= tf(freq=100.0), with freq of:\n              100.0 = termFreq=100.0\n            5.1205416
= idf(docFreq=53, maxDocs=3326)\n            0.013671875 = fieldNorm(doc=393)\n      0.026622705
= (MATCH) weight(recipe_title:كيك^10.0 in 393) [DefaultSimilarity], result
 of:\n        0.026622705 = score(doc=393,freq=1.0 = termFreq=1.0\n), product of:\n          0.012551986
= queryWeight, product of:\n            10.0 = boost\n            4.241991
= idf(docFreq=129, maxDocs=3326)\n            2.9589844E-4 = queryNorm\n          2.1209955
= fieldWeight in 393, product of:\n            1.0 = tf(freq=1.0), with freq of:\n              1.0
= termFreq=1.0\n            4.241991 = idf(docFreq=129, maxDocs=3326)\n            0.5
= fieldNorm(doc=393)\n",
"1365":"\n0.027153067 = (MATCH) sum of:\n  0.027153067 = (MATCH) sum of:\n    0.027153067
= (MATCH) max plus 0.1 times others of:\n      0.0053036213 = (MATCH) weight(ingredient_name:كيك^5.0
in 609) [DefaultSimilarity], result of:\n        0.0053036213 = score(doc=609,freq=100.0
= termFreq=100.0\n), product of:\n          0.007575801 = queryWeight, product of:\n            5.0
= boost\n            5.1205416 = idf(docFreq=53, maxDocs=3326)\n            2.9589844E-4
= queryNorm\n          0.700074 = fieldWeight in 609, product of:\n            10.0
= tf(freq=100.0), with freq of:\n              100.0 = termFreq=100.0\n            5.1205416
= idf(docFreq=53, maxDocs=3326)\n            0.013671875 = fieldNorm(doc=609)\n      0.026622705
= (MATCH) weight(recipe_title:كيك^10.0 in 609) [DefaultSimilarity], result
 of:\n        0.026622705 = score(doc=609,freq=1.0 = termFreq=1.0\n), product of:\n          0.012551986
= queryWeight, product of:\n            10.0 = boost\n            4.241991
= idf(docFreq=129, maxDocs=3326)\n            2.9589844E-4 = queryNorm\n          2.1209955
= fieldWeight in 609, product of:\n            1.0 = tf(freq=1.0), with freq of:\n              1.0
= termFreq=1.0\n            4.241991 = idf(docFreq=129, maxDocs=3326)\n            0.5
= fieldNorm(doc=609)\n",
"1593":"\n0.027153067 = (MATCH) sum of:\n  0.027153067 = (MATCH) sum of:\n    0.027153067
= (MATCH) max plus 0.1 times others of:\n      0.0053036213 = (MATCH) weight(ingredient_name:كيك^5.0
in 864) [DefaultSimilarity], result of:\n        0.0053036213 = score(doc=864,freq=100.0
= termFreq=100.0\n), product of:\n          0.007575801 = queryWeight, product of:\n            5.0
= boost\n            5.1205416 = idf(docFreq=53, maxDocs=3326)\n            2.9589844E-4
= queryNorm\n          0.700074 = fieldWeight in 864, product of:\n            10.0
= tf(freq=100.0), with freq of:\n              100.0 = termFreq=100.0\n            5.1205416
= idf(docFreq=53, maxDocs=3326)\n            0.013671875 = fieldNorm(doc=864)\n      0.026622705
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= (MATCH) max plus 0.1 times others of:\n      0.0048490255 = (MATCH) weight(ingredient_name:كيك^5.0
in 776) [DefaultSimilarity], result of:\n        0.0048490255 = score(doc=776,freq=64.0
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= termFreq=1.0\n            4.241991 = idf(docFreq=129, maxDocs=3326)\n            0.5
= fieldNorm(doc=776)\n",
"1366":"\n0.02710003 = (MATCH) sum of:\n  0.02710003 = (MATCH) sum of:\n    0.02710003
= (MATCH) max plus 0.1 times others of:\n      0.0047732596 = (MATCH) weight(ingredient_name:كيك^5.0
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"3978":"\n0.027046995 = (MATCH) sum of:\n  0.027046995 = (MATCH) sum of:\n    0.027046995
= (MATCH) max plus 0.1 times others of:\n      0.0042428975 = (MATCH) weight(ingredient_name:كيك^5.0
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Searching for Pancakes recipe as two arabic strings:


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Searching for Pancakes recipe as phrase search of two arabic strings:


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"response":{"numFound":0,"start":0,"maxScore":0.0,"docs":[]
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"spellcheck":{
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